perf script python: Add Python3 support to event_analyzing_sample.py

Support both Python2 and Python3 in the event_analyzing_sample.py script

There may be differences in the ordering of output lines due to
differences in dictionary ordering etc. However the format within lines
should be unchanged.

The use of 'from __future__' implies the minimum supported Python2 version
is now v2.6

Signed-off-by: Tony Jones <[e-mail]>
Cc: Feng Tang <[e-mail]>
Link: http://lkml.kernel.org/r/[e-mail]
Signed-off-by: Seeteena Thoufeek <[e-mail]>
Signed-off-by: Arnaldo Carvalho de Melo <[e-mail]>

tools/perf/scripts/python/event_analyzing_sample.py

···
 # for a x86 HW PMU event: PEBS with load latency data.
 #
 
+from __future__ import print_function
+
 import os
 import sys
 import math
···
 con.isolation_level = None
 
 def trace_begin():
-        print "In trace_begin:\n"
+        print("In trace_begin:\n")
 
         #
         # Will create several tables at the start, pebs_ll is for PEBS data with
···
         name       = param_dict["ev_name"]
 
         # Symbol and dso info are not always resolved
-        if (param_dict.has_key("dso")):
+        if ("dso" in param_dict):
                 dso = param_dict["dso"]
         else:
                 dso = "Unknown_dso"
 
-        if (param_dict.has_key("symbol")):
+        if ("symbol" in param_dict):
                 symbol = param_dict["symbol"]
         else:
                 symbol = "Unknown_symbol"
···
                                 event.ip, event.status, event.dse, event.dla, event.lat))
 
 def trace_end():
-        print "In trace_end:\n"
+        print("In trace_end:\n")
         # We show the basic info for the 2 type of event classes
         show_general_events()
         show_pebs_ll()
···
         # Check the total record number in the table
         count = con.execute("select count(*) from gen_events")
         for t in count:
-                print "There is %d records in gen_events table" % t[0]
+                print("There is %d records in gen_events table" % t[0])
                 if t[0] == 0:
                         return
 
-        print "Statistics about the general events grouped by thread/symbol/dso: \n"
+        print("Statistics about the general events grouped by thread/symbol/dso: \n")
 
          # Group by thread
         commq = con.execute("select comm, count(comm) from gen_events group by comm order by -count(comm)")
-        print "\n%16s %8s %16s\n%s" % ("comm", "number", "histogram", "="*42)
+        print("\n%16s %8s %16s\n%s" % ("comm", "number", "histogram", "="*42))
         for row in commq:
-             print "%16s %8d     %s" % (row[0], row[1], num2sym(row[1]))
+             print("%16s %8d     %s" % (row[0], row[1], num2sym(row[1])))
 
         # Group by symbol
-        print "\n%32s %8s %16s\n%s" % ("symbol", "number", "histogram", "="*58)
+        print("\n%32s %8s %16s\n%s" % ("symbol", "number", "histogram", "="*58))
         symbolq = con.execute("select symbol, count(symbol) from gen_events group by symbol order by -count(symbol)")
         for row in symbolq:
-             print "%32s %8d     %s" % (row[0], row[1], num2sym(row[1]))
+             print("%32s %8d     %s" % (row[0], row[1], num2sym(row[1])))
 
         # Group by dso
-        print "\n%40s %8s %16s\n%s" % ("dso", "number", "histogram", "="*74)
+        print("\n%40s %8s %16s\n%s" % ("dso", "number", "histogram", "="*74))
         dsoq = con.execute("select dso, count(dso) from gen_events group by dso order by -count(dso)")
         for row in dsoq:
-             print "%40s %8d     %s" % (row[0], row[1], num2sym(row[1]))
+             print("%40s %8d     %s" % (row[0], row[1], num2sym(row[1])))
 
 #
 # This function just shows the basic info, and we could do more with the
···
 
         count = con.execute("select count(*) from pebs_ll")
         for t in count:
-                print "There is %d records in pebs_ll table" % t[0]
+                print("There is %d records in pebs_ll table" % t[0])
                 if t[0] == 0:
                         return
 
-        print "Statistics about the PEBS Load Latency events grouped by thread/symbol/dse/latency: \n"
+        print("Statistics about the PEBS Load Latency events grouped by thread/symbol/dse/latency: \n")
 
         # Group by thread
         commq = con.execute("select comm, count(comm) from pebs_ll group by comm order by -count(comm)")
-        print "\n%16s %8s %16s\n%s" % ("comm", "number", "histogram", "="*42)
+        print("\n%16s %8s %16s\n%s" % ("comm", "number", "histogram", "="*42))
         for row in commq:
-             print "%16s %8d     %s" % (row[0], row[1], num2sym(row[1]))
+             print("%16s %8d     %s" % (row[0], row[1], num2sym(row[1])))
 
         # Group by symbol
-        print "\n%32s %8s %16s\n%s" % ("symbol", "number", "histogram", "="*58)
+        print("\n%32s %8s %16s\n%s" % ("symbol", "number", "histogram", "="*58))
         symbolq = con.execute("select symbol, count(symbol) from pebs_ll group by symbol order by -count(symbol)")
         for row in symbolq:
-             print "%32s %8d     %s" % (row[0], row[1], num2sym(row[1]))
+             print("%32s %8d     %s" % (row[0], row[1], num2sym(row[1])))
 
         # Group by dse
         dseq = con.execute("select dse, count(dse) from pebs_ll group by dse order by -count(dse)")
-        print "\n%32s %8s %16s\n%s" % ("dse", "number", "histogram", "="*58)
+        print("\n%32s %8s %16s\n%s" % ("dse", "number", "histogram", "="*58))
         for row in dseq:
-             print "%32s %8d     %s" % (row[0], row[1], num2sym(row[1]))
+             print("%32s %8d     %s" % (row[0], row[1], num2sym(row[1])))
 
         # Group by latency
         latq = con.execute("select lat, count(lat) from pebs_ll group by lat order by lat")
-        print "\n%32s %8s %16s\n%s" % ("latency", "number", "histogram", "="*58)
+        print("\n%32s %8s %16s\n%s" % ("latency", "number", "histogram", "="*58))
         for row in latq:
-             print "%32s %8d     %s" % (row[0], row[1], num2sym(row[1]))
+             print("%32s %8d     %s" % (row[0], row[1], num2sym(row[1])))
 
 def trace_unhandled(event_name, context, event_fields_dict):
-        print ' '.join(['%s=%s'%(k,str(v))for k,v in sorted(event_fields_dict.items())])
+        print (' '.join(['%s=%s'%(k,str(v))for k,v in sorted(event_fields_dict.items())]))